AHP Modelling and Sensitivity Analysis for Evaluating the Criticality of Software Programs

Librantz, André Felipe Henriques; Santos, Fábio Cosme Rodrigues dos; Dias, Cleber Gustavo; Cunha, Adriana Cristina Aipp da; Costa, Ivanir; Spínola, Mauro de Mesquita

doi:10.1007/978-3-319-51133-7_30

Cited by 5 publications

(2 citation statements)

References 12 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To validate the ranking result obtained using the proposed method, a sensitivity analysis is used by changing the weight of each criterion into zero [39][40][41] and increasing by 50%, 100% and 150%. The sensitivity analysis is a well-known method in studying how the output uncertainty of a model can be attributed to different sources of uncertainty in the model input [42].…”

Section: Resultsmentioning

confidence: 99%

Application of Intuitionistic Z-Numbers in Supplier Selection

Alam¹,

Khalif²,

Jaini³

2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

Intuitionistic fuzzy numbers incorporate the membership and nonmembership degrees. In contrast, Z-numbers consist of restriction components, with the existence of a reliability component describing the degree of certainty for the restriction. The combination of intuitionistic fuzzy numbers and Z-numbers produce a new type of fuzzy numbers, namely intuitionistic Z-numbers (IZN). The strength of IZN is their capability of better handling the uncertainty compared to Zadeh's Z-numbers since both components of Z-numbers are characterized by the membership and non-membership functions, exhibiting the degree of the hesitancy of decision-makers. This paper presents the application of such numbers in fuzzy multi-criteria decision-making problems. A decision-making model is proposed using the trapezoidal intuitionistic fuzzy power ordered weighted average as the aggregation function and the ranking function to rank the alternatives. The proposed model is then implemented in a supplier selection problem. The obtained ranking is compared to the existing models based on Znumbers. The results show that the ranking order is slightly different from the existing models. Sensitivity analysis is performed to validate the obtained ranking. The sensitivity analysis result shows that the best supplier is obtained using the proposed model with 80% to 100% consistency despite the drastic change of criteria weights. Intuitionistic Z-numbers play a very important role in describing the uncertainty in the decision makers' opinions in solving decision-making problems.

show abstract

Section: Resultsmentioning

confidence: 99%

Application of Intuitionistic Z-Numbers in Supplier Selection

Alam¹,

Khalif²,

Jaini³

2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

show abstract

“…As orientações para o gerenciamento de riscos são fornecidas pelas áreas estratégicas da organização e seu gerenciamento eficaz deve ser aplicado em todos os três níveis (estratégico, programa e projeto), de maneira articulada e que precisam ser integradas aos processos, atividades e rotinas da organização (HM Treasury, 2004 Research, Society and Development, v. 9, n. 11, e58991110116, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i11.10116 Principles and Concepts", publicado por HM Treasury em 2004 (Leopoldino & Borenstein, 2011;Kutsch et al 2013;Liu et al 2013;Iamandi et al 2015;Librantz et al 2016).…”

Section: Fatores De Risco Em Projetos De Softwareunclassified

Risk Evaluation in Software Project Using Bayesian Network Modeling

Cassia¹,

Librantz²,

Costa³

et al. 2020

RSD

Self Cite

View full text Add to dashboard Cite

Project risk events are often influenced by each other and rarely act independently. In this context, effective methods to identify, model and analyze these risks are necessary. The objective of this article is to apply the risk analysis in a software development project, based on the model of the Software Engineering Institute (SEI), using the Bayes model to calculate the event probabilities and also the Noisy-OR calculation structure to assign the initial weights of the network of factors that influence the project. In this way, it is expected to increase the chances of success of the risk analysis process. The results obtained by the techniques adopted prove to be promising in assisting the process of decision making by the managers of software development projects.

show abstract

Analysis of Drivers and Barriers in Green Supply Chain Management Using Fuzzy AHP and Fuzzy TOPSIS Approach

Pradhan

Mahapatra

2023

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

AHP Modelling and Sensitivity Analysis for Evaluating the Criticality of Software Programs

Cited by 5 publications

References 12 publications

Application of Intuitionistic Z-Numbers in Supplier Selection

Application of Intuitionistic Z-Numbers in Supplier Selection

Risk Evaluation in Software Project Using Bayesian Network Modeling

Analysis of Drivers and Barriers in Green Supply Chain Management Using Fuzzy AHP and Fuzzy TOPSIS Approach

Contact Info

Product

Resources

About